Microservice_Flower

Concept	Key	Subkey	Values
Description
	id		"MSID_FLOWER"
	name		"Object Detection & Classification Network"
	author		"DFKI"
	date
	version		"1.0.0"
	description		"Detection and classification of objects from Images"
	classificationSchema		"ML"
	type		["neural network", "deep learning", "convolutional neural network", "CNN"]
Service
	deploymentFormat		"docker-compose"
	deploymentData
	configurationData
	mountedSharedDirectories
Hardware Requirements
	recommendedNumberOfGPUs
	recommendedGPURAM
	gpuType
	hpcRequired
	edgeType
	recommendedRAM		2
	recommendedCPUs		2
	requiredDiskSpace		42GB
OS Requirements
	osArch		"x86_64"
	osType		"linux"
Data Resources
	dataResource
Model
	model_types		SavedModel (Tensorflow)
	model_recommendedAuthTools		Tensorflow
Parameters
	parameters
Metrics
	metrics		[, ]

Algorithm

Concept	Key	Subkey	Values
Description
	id		"ALGID_FLOWER"
	name		"DFKI Object Classification Algorithm"
	description		"Algorithm for ML inferences based on tensorflow"
	classificationSchema		"ML"
	type		["neural network", "deep learning", "convolutional neural network", "CNN"]
	author		"Valerie Poser"
	date
	version		"1.0.0"
Algorithm
	listOfMicroservices		["MSID_FLOWER"]
	deploymentMapping

Model

Concept	Key	Subkey	Values
Description
	ID		"MODELID_FLOWER"
	Name		Flower Classification
	Version		"1.0.0"
	License		Public Domain
	Provider		DFKI
	Provider_contacts
	AuthTool
	Type		Tensorflow
	Fidelity		SavedModel
	REPOSITORY_URI		"s3://dbrain-s3-test"
	PATH		"dfki/flower/model"
	FILENAME		"dfki_ml_flower-inference.zip"
	State_depend
Parameters
	In-slots
	Outputs		[detectedClass, confidenceScore]
	CosimSolverInfo
Dependant FMUs
	Dependencies
OS Requirements
	osArch
	osType
	osDistribution
Hardware Requirements
	recommendedNumberOfGPUCores
	minimumNumberOfGPUCores
	recommendedGPURAM
	minimumGPURAM
	recommendedRAM
	minimumRAM
	recommendedCPUs
	minimumCPUs
	requiredDiskSpace
Publishing
	Description		"Model is based on a general imagenet model (https://tfhub.dev/google/imagenet/mobilenet_v3_small_100_224/classification/5) and has been fine-tuned on flower dataset, to classifiy different flower types."

Data

Concept	Key	Subkey	Values
Administrative data
	ID		"DATAID_FLOWER"
	AUTHOR
	PROVIDER
	DATE
Description
	DATA_NAME		"DFKIFlowerStream"
	DATA_VERSION		"1.0.0"
	DATA_DESC		This stream acts as a communication channel between an end user and an ML inference Algorithm
	DATA_DESC_URL
	DATA_SIZE		1m
Search support
	DATA_TAGS		["jpg", "rgb"]
Datakind specification
	DATA_KIND		"STREAM"
	DATA_DIRECTION		"BIDIRECTIONAL"
	DATA_FORMAT		["text/plain", "application/octet-stream"]
	DATA_STORE_TYPE		"KAFKA"
Data access specification
	DATA_URI		"kafka:193.225.250.14:9093:dfki-flower-in"
	DATA_AUTH		["tls_manual"]
Open parameters
	DATA_CREDENTIALS
Further access clauses (extensible)
	DATA_AUX_INFO
Data content semantics
	DATA_SCHEMA
	DATA_SCHEMA_URL

MA Pair

Concept	Key	Subkey	Values
Definition
	ID		"MAID_FLOWER"
	Created at
	Version		1.0.0
	Author
	Licensor
	Derivation
	Name		DFKI Flower Classification
	Scope		Classification of flowers in images
	IP Family
	Namespace
	M Asset		"MODELID_FLOWER"
	A Asset		"ALGID_FLOWER"
	Rules
	Frequency
	Payload

DMA Tuple

Concept	Key	Subkey	Values
Definition
	ID		"DMAID_FLOWER"
	Created at
	Version		1.0.0
	Author
	Licensor
	Derivation
	Name		Flower Classification for Valerie
	Scope		This DMA tuple contains all assets forming a complete object detection and classification (machine learning) stack, including in- and output streams, a trained model, as well as the inference algorithm.
	IP Instance		123e4567-e89b-12d3-a456-426614174000
	Namespace
	MA Pair		"MAID_FLOWER"
	Schedule
	Payload
Data Assets Mapping
	DataAssetsMapping
Deployments
	Deployments

Deployment

Concept	Key	Subkey	Values
Description
	id		"HOSTID_FLOWER"
	name		"DFKI object detection infrastructure"
	author		"Valerie Poser"
	date
Deployments
	type		"cloudbroker"
	cloudbroker
		deployment_id
		instance_type_id
		key_pair_id
		opened_port
		endpoint
		cloud_config
	edge
		endpoint

Supporting Metadata

Concept	Key	Subkey	Values
Person
	ID
	Created at
	Version
	First name
	Last name
	Email
	CV
	Image
	Affiliation
Legal Entity (Organization)
	ID
	Created at
	Version
	Author
	Name
	Description
	Logo
	URL
	Location
	Phone
	VAT ID No.
IP Family
	ID
	Created at
	Version
	Author
	Manager
	Name
	Image
	Model No.
	Description
	Capacity
	IP Man.
IP Instance
	ID
	Created at
	Version
	Author
	Operator
	IP Family
	Name
	Image
	Serial No.
	Description
	Location

DataAssetsMapping

Concept	Key	Subkey	Values
DataAssetsMapping
	MICROSERVICE_ID		"MSID_FLOWER"
		DATA_SOURCE_ID	"DATAID_FLOWER"

ConfigurationData

Concept	Key	Subkey	Values
ConfigurationData
	filePath		/data/rclone.conf
	fileContent		[s3-server]\n access_key: 123abc
	mountPropagation		Bidirectional

Data Resources

Concept	Key	Subkey	Values
Data Resources
	DATA_RESOURCE_ID		kafka_stream
	DATA_KIND		["STREAM"]
	DATA_DIRECTION		["BIDIRECTIONAL"]
	DATA_FORMAT		["image/jpeg", "text/plain"]
	DATA_SOURCE_TYPE		["KAFKA"]
	DATA_AUTH_TYPE		["tls_manual"]
	DATA_SCHEMA
	DATA_AUX_INFO

Parameters

Concept	Key	Subkey	Values
Parameters
	name		"detection_threshold"
	type		"Integer"
	mandatory		True
	defaultValue		42
	description		"This parameter can be used to configure the included algorithm in a certain way, possible values: 'A', 'B', 'Z'."

Metrics

Concept	Key	Subkey	Values
Metrics
	name		"detectedClass"
	correspondingMeasurement		"detectedClass"
	function		"ML inference"
	unit		"enum"
	description		"which classes has been detected in the input image"

In-slots

Concept	Key	Subkey	Values
In-slots
	Key
	Name
	Dimensions
	Is-continuous
	Units
		Unit
		Exponent
		Offset
		Scale
	Default-value
	Ranges

Outputs

Concept	Key	Subkey	Values
Outputs
	Key
	Name
	Dimensions
	Is-continuous
	Units
		Unit
		Exponent
		Offset
		Scale
	Default-value
	Ranges